Evidence map›Paper›PMID 35039933›Full record

ArticleMolecular genetics and genomics : MGG2022

Genetic diversity and population structure of rice (Oryza sativa L.) landraces from Kerala, India analyzed through genotyping-by-sequencing.

Maya Peringottillam, Smitha Kunhiraman Vasumathy, Hari Krishna Kumar Selvakumar, Manickavelu Alagu

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Maya PeringottillamDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India.
Smitha Kunhiraman VasumathyDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India.
Hari Krishna Kumar SelvakumarDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India.
Manickavelu AlaguDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India. amanicks@cukerala.ac.in.ORCID http://orcid.org/0000-0003-2875-2290
Central University of Kerala · IN

Funding

Science and Engineering Research Board ECR/2016/001934
6 · The paper itself

Abstract

Researchers stand at the vanguard of advancement and application of next-generation sequencing technology for developing dominant strategies for the sustainable management of genetically diverse crops. We attempt to fill the existing research lacuna in the molecular characterization of potent rice landraces in Kerala. Genotyping-by-sequencing (GBS) was performed on 96 Kerala rice accessions to identify single-nucleotide polymorphisms (SNPs), to examine the genetic diversity, population structure, and to delineate linkage disequilibrium (LD) pattern. GBS identified 5856 high-quality SNPs. The structure analysis indicated three subpopulations with the highest probability for population clustering with significant genetic differentiation, confirmed by principal component analysis. The genome-wide LD decay distance was 772 kb, at which the r

Indexed as

Genetic VariationAgricultureGene FrequencyGenome-Wide Association StudyGenotypeGenotyping TechniquesIndiaOryzaPhenotypePolymorphism, Single NucleotideSequence Analysis, DNAGenetic diversityGenotyping-by-sequencingPopulation structureRice landraces

Identifiers

PMID35039933
OpenAlexW4205672994

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.